Available for work

Carlos Agamez 👋

Software Developer | Data Scientist | Data Analyst with 2 years of experience passionate about building intelligent software solutions and optimizing processes through data analysis. I specialize in transforming ideas into efficient and data-driven applications. 📊🚀

Beyond the Code

Learning New Tech Athletics Movies & Series Music Traveling

Tech Stack

Projects

I am passionate about translating complex challenges into functional software solutions.
Here I present some key projects where I have applied my skills in development and data analysis to create real impact. Explore them!

Intecmar AI PlatformBP ToolsDB Chat Agent with MCP

Work Experience

  1. Software Developer

    Cotecmar

    Designed and developed a comprehensive AI-powered platform to automate technological surveillance and funding opportunity detection. I engineered a robust microservices architecture using Python, FastAPI, and Docker, deploying autonomous agents (RAG & LangGraph) that ingest complex data and synthesize it into strategic technical reports, streamlining the R&D knowledge management workflow.
  2. Intern – Business Partner Team

    Tenaris TuboCaribe

    As part of the Business Partner team, I developed technological solutions to optimize internal processes. My key responsibilities included creating applications with Power Apps to automate workflows, designing and implementing ETL processes for data consolidation, and developing interactive dashboards with Python and Power BI to support data-driven strategic decisions.
  3. Programming and Artificial Intelligence Teaching Assistant

    UTB Talento Tech

    Provided comprehensive support to students in programming and AI, offering personalized academic assistance and technical troubleshooting. I coordinated and supervised lab sessions to ensure the practical application of theoretical knowledge and participated in the continuous evaluation of student performance, providing constructive feedback for improvement.

Projects Completed

Research Papers

Task-Clif Project - Query Re-Ranking System Evaluation
Mar 2024 IEEE Xplore

Task-Clif: Query Re-Ranking System

An Information Retrieval system to evaluate and re-rank search results from PubMed using models like BM25 and PubMedBERT. This research was published in IEEE.

Read Paper

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